Video and data surveillance by public and private entities.
Civil Surveillance (40)
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- 13 min
- Kinolab
- 2002
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Although there are no cameras, the implication is that anyone can be under constant surveillance by this program. Once the “algorithm” has gleaned enough data about the future crime, officers move out to stop the murder before it happens.
- Kinolab
- 2002
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- 13 min
- Kinolab
- 2002
Preventative Policing and Surveillance Information
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Although there are no cameras, the implication is that anyone can be under constant surveillance by this program. Once the “algorithm” has gleaned enough data about the future crime, officers move out to stop the murder before it happens.
Discussion Prompts:
How will predicted crime be prosecuted? Should predicted crime be prosecuted? How could technologies such as the ones shown here be affected for the worse by human bias? How would these devices make racist policing practices even worse? Would certain communities be targeted? Is there ever any justification for constant civil surveillance?
Movie Title:
Minority Report: Opening Sequence-
- 7 min
- Kinolab
- 2002
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Joe Anderson, the former head of the PreCrime policing program, is named as a future perpetrator and must flee from his former employer. Due to the widespread nature of retinal scanning biometric technology, he is found quickly, and thus must undergo an eye transplant. While recovering in a run-down apartment, the PreCrime officers deploy spider-shaped drones to scan the retinas of everyone in the building.
- Kinolab
- 2002
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- 7 min
- Kinolab
- 2002
Retinal Scans and Immediate Identification
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Joe Anderson, the former head of the PreCrime policing program, is named as a future perpetrator and must flee from his former employer. Due to the widespread nature of retinal scanning biometric technology, he is found quickly, and thus must undergo an eye transplant. While recovering in a run-down apartment, the PreCrime officers deploy spider-shaped drones to scan the retinas of everyone in the building.
Discussion Prompts:
Is it possible that people would consent to having their retinas scanned in general public places if it meant a more personalized experience of that space? Should government be able to deceive people into giving up their private data, as social media companies already do? How can people protect themselves from retinal scanning and other biometric identification technologies on small and large scales?
Movie Title:
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- 9 min
- Kinolab
- 2002
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Although there are no cameras, the implication is that anyone can be under constant surveillance by this program. Once the “algorithm” has gleaned enough data about the future crime, officers move out to stop the murder before it happens. In this narrative, the PreCrime program is audited, and the officers must explain the ethics and philosophies at play behind their systems. After captain John Anderton is accused of a future crime, he flees, and learns of “minority reports,” or instances of disagreement between the Precogs covered up by the department to make the justice system seem infallible.
- Kinolab
- 2002
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- 9 min
- Kinolab
- 2002
Trusting Machines and Variable Outcomes
In the year 2054, the PreCrime police program is about to go national. At PreCrime, three clairvoyant humans known as “PreCogs” are able to forecast future murders by streaming audiovisual data which provides the surrounding details of the crime, including the names of the victims and perpetrators. Although there are no cameras, the implication is that anyone can be under constant surveillance by this program. Once the “algorithm” has gleaned enough data about the future crime, officers move out to stop the murder before it happens. In this narrative, the PreCrime program is audited, and the officers must explain the ethics and philosophies at play behind their systems. After captain John Anderton is accused of a future crime, he flees, and learns of “minority reports,” or instances of disagreement between the Precogs covered up by the department to make the justice system seem infallible.
Discussion Prompts:
What are the problems with taking the results of computer algorithms as infallible or entirely objective? How are such systems prone to bias, especially when two different algorithms might make two different predictions? Is there any way that algorithms could possibly make the justice system more fair? How might humans inflect the results of a predictive crime algorithm in order to serve themselves? Does technology, especially an algorithm such as a crime predictor, need to be made more transparent to its users and the general public so that people do not trust it with a religious sort of fervor?
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- 5 min
- Nature
- 2025
Research has found that 90% of studies on AI development, as well as 86% of the resulting patents, involve human imaging. This means that data used to train AI models are well suited to being used in surveillance applications by military, law enforcement, corporations, and other private actors. There is also substantial evidence to suggest that much of the research that created the current models were funded by government and military agencies.
- Nature
- 2025
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- 5 min
- Nature
- 2025
Is AI watching us?
Research has found that 90% of studies on AI development, as well as 86% of the resulting patents, involve human imaging. This means that data used to train AI models are well suited to being used in surveillance applications by military, law enforcement, corporations, and other private actors. There is also substantial evidence to suggest that much of the research that created the current models were funded by government and military agencies.
Discussion Prompts:
- Why do you think such a significant proportion of the studies involve human imaging?
- What are the ethical barriers in using human imaging to advance AI research?
- What are potential cases in which the images and information collected may be misused by government or private companies?